DocumentCode
709049
Title
Maximum received power statistics within RF reflective enclosures for HERO/EMV testing
Author
Hager, Carl E. ; Tait, Gregory B.
Author_Institution
Naval Surface Warfare Center Dahlgren, Dahlgren, VA, USA
fYear
2015
fDate
15-21 March 2015
Firstpage
237
Lastpage
241
Abstract
Statistical models for maximum electromagnetic fields within RF reflective enclosures (i.e. complex cavities) have historically been derived from parent distributions obtained from the central limit theorem applied to sums of random variables. However, recent work has been done to apply the Fisher-Tippett theorem and its associated generalized extreme value (GEV) distribution to model enclosure maximums directly. The purpose of this paper is to experimentally validate the GEV distribution to model maximum received power measurements within a complex cavity for use in Hazards of Electromagnetic Radiation to Ordnance (HERO) and Electromagnetic Vulnerability (EMV) testing. Distribution parameters and associated confidence intervals are statistically determined through maximum likelihood estimation (MLE) methods.
Keywords
electromagnetic fields; electromagnetic waves; hazards; maximum likelihood estimation; power measurement; EMV; Fisher-Tippett theorem; GEV distribution; HERO; MLE; associated confidence intervals; complex cavity; distribution parameters; electromagnetic vulnerability; generalized extreme value distribution; hazards of electromagnetic radiation to ordnance; maximum electromagnetic fields; maximum likelihood estimation; maximum received power statistics; model maximum received power measurements; radiofrequency reflective enclosures; random variables; statistical models; Cavity resonators; Distribution functions; Maximum likelihood estimation; Power measurement; Radio frequency; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Compatibility and Signal Integrity, 2015 IEEE Symposium on
Conference_Location
Santa Clara, CA
Print_ISBN
978-1-4799-1992-5
Type
conf
DOI
10.1109/EMCSI.2015.7107692
Filename
7107692
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